AI Accelerates Problem-solving in Complex Scenarios by Zewe, Adam

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Onboard Processing in Satellite Communications Using AI Accelerators by Flor Ortiz, Victor Monzon Baeza, Luis M. Garces-Socarras, Juan A. Vásquez-Peralvo, Jorge L. Gonzalez, Gianluca Fontanesi, Eva Lagunas, Jorge Querol, Symeon Chatzinotas

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Recent Developments in Low-Power AI Accelerators: A Survey by Christoffer Åleskog, Håkan Grahn, Anton Borg

“…In this paper, we present an overview of low-power AI accelerators between 2019–2022. Low-power AI accelerators are defined in this paper based on their acceleration target and power consumption. …”
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Test Architecture for Systolic Array of Edge-Based AI Accelerator by Umair Saeed Solangi, Muhammad Ibtesam, Muhammad Adil Ansari, Jinuk Kim, Sungju Park

“…The application diversity and evolution of AI accelerator architectures require innovative DFT solutions to address issues such as test time, test power, performance and area overhead. …”
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Two Laboratory Teams Receive 2020 AI Accelerator Awards

“…Two teams involving Laboratory staff were recognized with 2020 awards from the Department of the Air Force (DAF)−MIT Artificial Intelligence (AI) Accelerator. Recipients were selected from more than 150 airmen, researchers, faculty, and students from the DAF, the Laboratory, and MIT who are part of a collaborative effort to accelerate fundamental advances in AI. …”
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ASimOV: A Framework for Simulation and Optimization of an Embedded AI Accelerator by Dong Hyun Hwang, Chang Yeop Han, Hyun Woo Oh, Seung Eun Lee

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MIT and U.S. Air Force Sign Agreement to Launch AI Accelerator

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Accelerating Fielding of Artificial Intelligence Programs with the DAF-MIT AI Accelerator by Foy, Kylie

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Low-Power Ultra-Small Edge AI Accelerators for Image Recognition with Convolution Neural Networks: Analysis and Future Directions by Weison Lin, Adewale Adetomi, Tughrul Arslan

Subjects: “…edge AI accelerator…”
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A Computer Vision Sensor for AI‐Accelerated Detection and Tracking of Occluded Objects by Can Cuhadar, Hoi Nok Tsao

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Science trends and Digital immortality: AI accelerates movement towards an unattainable goal by Zinchenko Viktor, Boichenko Mykhailo, Slyusarenko Olena, Popovych Mykola, Radchenko Lidiia, Polishchuk Oleksandr

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Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks by Chunxiao Lin, Muhammad Farhan Azmine, Yibin Liang, Yang Yi

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ConvKyber: Unleashing the Power of AI Accelerators for Faster Kyber with Novel Iteration-based Approaches by Tian Zhou, Fangyu Zheng, Guang Fan, Lipeng Wan, Wenxu Tang, Yixuan Song, Yi Bian, Jingqiang Lin

“… The remarkable performance capabilities of AI accelerators offer promising opportunities for accelerating cryptographic algorithms, particularly in the context of lattice-based cryptography. …”
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DycSe: A Low-Power, Dynamic Reconfiguration Column Streaming-Based Convolution Engine for Resource-Aware Edge AI Accelerators by Weison Lin, Yajun Zhu, Tughrul Arslan

Subjects: “…edge AI accelerator…”
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AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection by Austin Clyde, Xuefeng Liu, Thomas Brettin, Hyunseung Yoo, Alexander Partin, Yadu Babuji, Ben Blaiszik, Jamaludin Mohd-Yusof, Andre Merzky, Matteo Turilli, Shantenu Jha, Arvind Ramanathan, Rick Stevens

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Customized High Performance and Energy Efficient Communication Networks for AI Chips by Wei Gao, Pingqiang Zhou

Subjects: “…AI accelerators…”
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Impact of Approximate Multipliers on VGG Deep Learning Network by Issam Hammad, Kamal El-Sankary

Subjects: “…AI accelerator…”
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Dependable DNN Accelerator for Safety-Critical Systems: A Review on the Aging Perspective by Iraj Moghaddasi, Saeid Gorgin, Jeong-A Lee

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Affordable Artificial Intelligence-Assisted Machine Supervision System for the Small and Medium-Sized Manufacturers by Chen Li, Shijie Bian, Tongzi Wu, Richard P. Donovan, Bingbing Li

Subjects: “…affordable AI accelerator…”
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Benchmarking the NXP i.MX8M+ neural processing unit: smart parking case study by Edgar Chaves-González, Luis G. León-Vega

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